We conduct experiments on real-world datasets Pokec-z, Pokec-n, and NBA [1]}. Pokec-z and Pokec-n are sampled, based on province information, from a larger Facebook-like social network Pokec [2]} in Slovakia, where region information is treated as the sensitive attribute and the predicted label is the working field of the users. NBA dataset is extended from a Kaggle dataset https://www.kaggle.com/noahgift/social-power-nba consisting of around 400 NBA basketball players. The information of players includes age, nationality, and salary in the 2016-2017 season. The players' link relationships is from Twitter with the official crawling API. The binary nationality (U.S. and overseas player) is adopted as the sensitive attribute and the prediction label is whether the salary is higher than the median.
